Source Normalized Impact per Paper (SNIP):2017: 0.492SNIP measures contextual citation impact by weighting citations based on the total number of citations in a subject field.

Impact per Publication (IPP): 0.588

Impact per Publication (IPP):2016: 0.588The Impact per Publication measures the average number of citations received in a particular year by papers published in the journal during the three preceding years.

SCImago Journal Rank (SJR): 0.22

SCImago Journal Rank (SJR):2017: 0.22SJR is a prestige metric based on the idea that not all citations are the same. SJR uses a similar algorithm as the Google page rank; it provides a quantitative and a qualitative measure of the journal’s impact.

Cite Score: 0.49

Cite Score:2017: 0.49CiteScore metrics are a new standard to measure serial citation impact.

Dr. R. Balajee Ramachandran, Dr. M. S. Dhanarajan M S

Abstract

Background: The identification of potential compounds for an anti-hyperglycemic makes real challenges in the pharmaceutical industry. Library ofcompounds have introduced so far, but identifying the specific target, which makes more sensation.Objective: In the present study, the quantitative structure-activity relationship (QSAR) studies have been analyzed from the compounds wereretrieved from online and literature survey.Methods: The compound, 6, 7, 8, 9-tetrahydro-2h-11-oxa-2, 4, 10-triaza-benzo [b] fluoren-1-one has taken as a potential target to perform QSARstudy based on the principle of the molecular docking analysis and pharmacophoric features. QSAR models were generated a target from the first 10potential targets in the training set.Results: The predictive ability of both models was determined using a randomly chosen test set gave predictive correlation coefficients of r2=0.9.Conclusion: This analysis shows the ADNRR shows very close to the interactions recorded in the active site of the ligand bound complex.Keywords: Quantitative structure-activity relationship, Pharmacophore Alignment and Scoring Engine, Dipeptidyl peptidase 4, Anti-hyperglycemictargets, Docking studies, Three dimensional quantitative structure-activity relationship.